The University of Tokyo
The University of Tokyo
The University of Tokyo
Japan Aerospace Exploration Agency (JAXA)
Japan Aerospace Exploration Agency (JAXA)
Japan Aerospace Exploration Agency (JAXA)
出版者
日本航空宇宙学会(JSASS)
出版者（英）
The Japan Society for Aeronautical and Space Sciences (JSASS)
雑誌名
第59回宇宙科学技術連合講演会講演集
雑誌名(英)
Proceedings of 59th Space Sciences and Technology Conference
Authors have been studying health monitoring and anomaly detection methods for artificial satellites. So far, we have developed a monitoring method based on the probabilistic dimensionality reduction and clustering and have conducted a verification testing of this method by applying it to SDS-4 operation. This paper explains the lessons learned in this testing and introduces several plans of improving or complementing the proposed method.
内容記述
形態: カラー図版あり
内容記述（英）
Physical characteristics: Original contains color illustrations
SDS-4運用における学習型テレメトリ監視システムの性能向上検討(1): 手法と実装
